Upload THAU model - 2025-11-27 08:06

README.md

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+---
+language:
+  - es
+  - en
+license: apache-2.0
+tags:
+  - llm
+  - conversational
+  - text-generation
+  - thau
+  - self-learning
+  - tool-calling
+library_name: transformers
+pipeline_tag: text-generation
+base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
+---
+
+# THAU - Self-Learning Language Model
+
+<img src="https://img.shields.io/badge/THAU-LLM-blue" alt="THAU LLM">
+
+## Model Description
+
+**THAU** (Thinking, Helpful, Autonomous, Understanding) is a self-learning language model with incremental training capabilities. Built on top of TinyLlama, THAU has been fine-tuned using a unique "cognitive age" progression system.
+
+### Key Features
+
+- **Self-Learning**: Learns from interactions and self-generated Q&A
+- **Tool Calling**: Supports MCP (Model Context Protocol) for tool invocation
+- **Bilingual**: Trained primarily in Spanish with English support
+- **Lightweight**: ~2048M parameters, runs on consumer hardware
+
+## Model Architecture
+
+| Parameter | Value |
+|-----------|-------|
+| Hidden Size | 2048 |
+| Layers | 22 |
+| Vocabulary Size | 32000 |
+| Model Type | llama |
+| Base Model | TinyLlama-1.1B-Chat |
+
+## Training
+
+THAU uses a progressive "cognitive age" training system:
+
+- **Age 0-3**: Basic language, simple patterns
+- **Age 4-6**: Grammar, vocabulary expansion
+- **Age 7-9**: Reasoning, logic
+- **Age 10-12**: Advanced topics, programming
+- **Age 13-15**: Specialized knowledge, tool use
+
+### Training Data
+
+- Self-generated Q&A pairs via Ollama teachers
+- Programming tutorials (Python, JavaScript, C++, etc.)
+- Tool calling examples (MCP format)
+- General knowledge across multiple domains
+
+## Usage
+
+### With Transformers
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model = AutoModelForCausalLM.from_pretrained("luepow/thau")
+tokenizer = AutoTokenizer.from_pretrained("luepow/thau")
+
+prompt = "Hola, que puedes hacer?"
+inputs = tokenizer(prompt, return_tensors="pt")
+outputs = model.generate(**inputs, max_new_tokens=100)
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+```
+
+### With Ollama
+
+```bash
+# Download and convert
+ollama pull thau
+
+# Or create from GGUF
+ollama create thau -f Modelfile
+```
+
+### Tool Calling Format
+
+THAU supports tool calling with this format:
+
+```
+<tool_call>{"name": "tool_name", "arguments": {"param": "value"}}</tool_call>
+```
+
+Example tools: `get_current_time`, `web_search`, `execute_python`, `generate_image`
+
+## Limitations
+
+- Model size limits complex reasoning
+- May hallucinate on topics outside training data
+- Tool calling accuracy depends on training quality
+- Spanish-primary, English secondary
+
+## Ethical Considerations
+
+This model was trained on self-generated data and open datasets. It should not be used for:
+- Generating harmful or misleading content
+- Impersonating real individuals
+- Making critical decisions without human oversight
+
+## Citation
+
+```bibtex
+@misc{thau2024,
+  title={THAU: A Self-Learning Language Model},
+  author={THAU Team},
+  year={2024},
+  url={https://huggingface.co/luepow/thau}
+}
+```
+
+## License
+
+Apache 2.0
+
+---
+
+*THAU - Built with incremental learning and cognitive progression*

chat_template.jinja

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+{% for message in messages %}
+{% if message['role'] == 'user' %}
+{{ '<|user|>
+' + message['content'] + eos_token }}
+{% elif message['role'] == 'system' %}
+{{ '<|system|>
+' + message['content'] + eos_token }}
+{% elif message['role'] == 'assistant' %}
+{{ '<|assistant|>
+'  + message['content'] + eos_token }}
+{% endif %}
+{% if loop.last and add_generation_prompt %}
+{{ '<|assistant|>' }}
+{% endif %}
+{% endfor %}

config.json

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+{
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "dtype": "float16",
+  "eos_token_id": 2,
+  "head_dim": 64,
+  "hidden_act": "silu",
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 5632,
+  "max_position_embeddings": 2048,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 22,
+  "num_key_value_heads": 4,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": false,
+  "transformers_version": "4.57.1",
+  "use_cache": true,
+  "vocab_size": 32000
+}

generation_config.json

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+{
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "max_length": 2048,
+  "pad_token_id": 0,
+  "transformers_version": "4.57.1"
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:fbdb7ccbf122261dfb0d113613de2a872f732d2e4e33e403b7d438f9e2bafe03
+size 2200119664

special_tokens_map.json

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+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.model

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+version https://git-lfs.github.com/spec/v1
+oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
+size 499723

tokenizer_config.json

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+{
+  "add_bos_token": true,
+  "add_eos_token": true,
+  "add_prefix_space": null,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "extra_special_tokens": {},
+  "legacy": false,
+  "model_max_length": 2048,
+  "pad_token": "</s>",
+  "padding_side": "right",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}